2. Data Storage, Operations, and Administration

Label	KSAC Description		Bloom's Taxonomy Level	Cross-Cutting
a	Identify and understand key terms and definitions, methods, best practices, operational and maintenance, and both conceptual and technical architectures for data storage, operations, and administration.	knowledge	1
b	Understand data storage mechanisms and their impact on data analytics processing	knowledge	2
c	Explain the pros and cons of on-premises vs cloud-based analytics solutions	knowledge	2	Networking 1f
d	Describe the implications of data architecture on data processing	knowledge	2	Data Management 1n
e	Explain the different data organizational schemas (e.g., 1st normal form vs. 3rd normal form vs. Star Schema, etc.) and how they relate to database management systems	knowledge	2
f	Explain the differences between batch analytics and streaming analytics, where each would be applied, and the constraints of each	knowledge	3
g	Properly use and develop a data dictionary for publicly shared data	skill	3
h	Skill: specifically in SQL, R, or another common language	skill	3